6 results about "Vehicular automation" patented technology

This invention discloses a vehicle automation testing method, equipment, and medium based on embodied robots, relating to the field of industrial control technology. The method includes: acquiring a test task description of the target vehicle and performing embodied robot pose calibration, vehicle operable component identification, and association of onboard signal acquisition channels to form a test initialization configuration set; evaluating the differences in control state responses corresponding to the test initialization configuration set under the current vehicle state to generate an adaptive test candidate sequence; and performing convergence control on the execution process of the updated adaptive test candidate sequence based on a confidence convergence determination flag to generate a vehicle automation test report. This invention associates the embodied robot's action execution process with the corresponding onboard signal acquisition data under unified action semantics and time constraints, enabling the vehicle control response to form a quantifiable and continuously updatable state determination basis under different action triggering conditions.

An electronic control unit is provided to manage a distributed cache system to reduce data transfer. In examples, the ECU can include a plurality of distributed processing resources (e.g., chiplets), as well as control logic to for the distributed processing resources to perform with respect to their cached data when workloads are completed. The distributed processing system is used to control or perform functions for a vehicle, including functions to automate operation of a vehicle.

This invention belongs to the field of automation and control technology for municipal sanitation vehicles, specifically relating to a differentiated obstacle avoidance control method and system for sprinkler trucks based on target classification. The control method includes simultaneously acquiring image data and point cloud data of the environment surrounding the sprinkler truck; constructing a target detection and classification model, and transmitting the image data to the trained target detection and classification model; processing the target detection and classification model and inputting it into a pre-fusion algorithm with the point cloud data; when a pedestrian is detected, analyzing whether there is an effective occupant; when a second type of target is detected, initiating pre-collaborative safety; when both first and second types of targets are detected simultaneously, generating corresponding avoidance strategies in parallel and independently, and if there are conflicts between avoidance strategies for different targets, fusion is performed according to an arbitration principle. The system of this invention possesses a deep understanding of the environment and refined decision-making capabilities, can simulate human driver judgment, and has a high degree of intelligence.

This invention discloses a water-saving system and control method for a dust suppression vehicle used in mine blasting, belonging to the field of special vehicle automation control. The system includes a tank, an exhaust valve, a water outlet pipe, a drain valve, a rotating spray boom, a parameter setting device, and an MCU controller. The MCU controller acquires a preset number of swing cycles N. After the rotating spray boom completes N reciprocating swings, it closes the drain valve and opens the exhaust valve, terminating water spraying and retaining the remaining water in the tank. The method includes a fixed mode and an adaptive mode: the former determines the minimum effective number of swings under fixed operation through on-site calibration; the latter automatically calculates the minimum number of swings required to complete dust suppression coverage based on parameters such as blasting width, number and layout coefficient of blasting holes, effective spray distance, spray boom rotation angular velocity, and rated air pressure drop time. This invention actively terminates water spraying based on the completion of dust suppression coverage, saving remaining water for the next operation while ensuring dust suppression effectiveness, achieving a water saving rate of 10%~30%, and is suitable for water-scarce mines.

The application relates to the electrical field and discloses an industrial vehicle lane driving safety control system and a control method thereof. The system comprises: a plurality of magnetic switch groups, which are installed side by side on a vehicle front cross beam; a plurality of ground magnetic nails, which are arranged on a lane ground and correspond to positions of the magnetic switch groups; and a controller, which is used for controlling a driving speed of the vehicle in the lane by using interaction between the magnetic switch groups and the ground magnetic nails during vehicle forward driving or backward driving. Thus, human factors can be avoided, the automation degree of the vehicle is improved, lane driving safety can be effectively improved, driving and carrying efficiency is improved, guide rails and auxiliary wheels on both sides of the vehicle are effectively protected, and personnel and goods on both sides are protected.

The application provides a vehicle automatic matching method and system based on cargo information, and relates to the technical field of dangerous chemical transportation. The vehicle automatic matching method and system based on cargo information specifically comprises the following steps: S1. User input, S2. Data loading and preprocessing, S3. And single, S4. Path calculation, S5. Matching candidate generation, S6. Maximum matching, S7. Message push and state update. By integrating cargo information and vehicle information, automatic dispatching is realized, ensuring efficient matching of transportation resources. At the same time, based on the path analysis function, the same or similar routes can be identified, supporting carpooling transportation, further improving vehicle utilization. In addition, it can also intelligently recommend suitable cargo sources according to the vehicle return route, effectively reducing the empty return and empty running phenomenon, significantly improving the vehicle full load rate, reducing the transportation cost, and enhancing the economy and sustainability of the overall logistics operation.